Proceedings on Engineering Sciences | 2026
Authors: Qafas A.; El Moubarik A.
DOI: 10.24874/PES08.01.017
Journal: Proceedings on Engineering Sciences
Year: 2026
Publisher: Faculty of Engineering, University of Kragujevac
Document Type: Article
Open Access: All Open Access; Gold Open Access; Green Open Access
Cited by: 0
The adoption of Industry 4.0 technologies, including the Internet of Things (IoT), artificial intelligence (AI), and Big Data, represents a pivotal strategic challenge for industrial enterprises. This study examines the behavioral and organizational factors influencing employee acceptance of these technologies within a multi-sectoral context. Grounded in the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), a questionnaire survey was conducted with 150 employees from diverse industrial sectors. The primary objective was to evaluate the effects of perceived usefulness, ease of use, social influence, and facilitating conditions on employees’ intentions to adopt these technologies. The findings demonstrate that perceived usefulness and ease of use are significant determinants of adoption intention, while social influence, although less pronounced, still exerts a notable effect. Moreover, facilitating conditions were identified as a moderating variable, amplifying the relationship between perceived usefulness and adoption intention. These results provide valuable theoretical contributions and practical recommendations for enhancing the effective integration of Industry 4.0 technologies in industrial enterprises. © 2026 Published by Faculty of Engineeringg.
Ease of Use; Facilitating Conditions; Industry 4.0; Perceived Usefulness; Social Influence; Technology Acceptance; Technology Acceptance Model (TAM); Unified Theory of Acceptance and Use of Technology (UTAUT)